AWS Data Stack Specialist

1 week ago


Bengaluru, India Awign Expert Full time
Job Description
About Awign Expert:
Awign Expert, a division of Awign - India's largest work-as-a-service platform. We connect skilled professionals with exciting project-based opportunities from top companies, handling onboarding, feedback, conflict resolution, and payroll. Our mission is to empower professionals to focus on their work by managing administrative tasks, providing access to a network of renowned companies and rewarding assignments.

Position: AWS Data Stack Specialist

Location: Bangalore and Hyderabad

Employment Type: Contract (6 months and can go up to 2 years)

Number of Openings: 40+

Experience: 4-12 years

Key Responsibilities:
Design, develop, and implement data solutions using AWS Data Stack components such as Glue and Redshift.
Write and optimize advanced SQL queries for data extraction, transformation, and analysis.
Develop data processing workflows and ETL processes using Python and PySpark.
Collaborate with cross-functional teams to understand data requirements and deliver efficient data solutions.
Monitor and troubleshoot data pipelines to ensure smooth operation and data integrity.
Participate in code reviews, design discussions, and contribute to technical documentation.
Ensure best practices in data management, security, and compliance are followed.

Required Skills:
Advanced SQL: Strong proficiency in writing and optimizing complex SQL queries.
Python: Extensive experience in Python programming for data manipulation and automation.
PySpark: Hands-on experience in using PySpark for large-scale data processing.
AWS Data Stack: Deep expertise in AWS Glue, Redshift, and other AWS data services.

Experience:

Preferred Qualifications:
AWS certifications preferred
Experience with other AWS services like S3, Lambda, and Athena.
Familiarity with data warehousing concepts and best practices.
Strong problem-solving skills and the ability to work independently or as part of a team.

Requirements
Advanced SQL, Python, PySpark, AWS Data Stack

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